xlm-r-base-amazon-massive-intent-finetuned-clinc150

This model is a fine-tuned version of cartesinus/xlm-r-base-amazon-massive-intent on the None dataset. It achieves the following results on the evaluation set:

• Loss: 6.1288

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 2e-05
• train_batch_size: 64
• eval_batch_size: 64
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3.0
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
8.2968	1.0	342	6.6373
6.5252	2.0	684	6.2325
6.2546	3.0	1026	6.1037

Framework versions

• Transformers 4.29.2
• Pytorch 2.0.1+cu118
• Datasets 2.12.0
• Tokenizers 0.13.3